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log_dir: 'storage/logs' # str
log_chunk_dir: 'storage/logs/chunks' # str
device: 'cpu' # str [cuda, cpu]
vectorstore:
load_from_HF: True # bool
reparse_files: True # bool
data_path: 'storage/data' # str
url_file_path: 'storage/data/urls.txt' # str
expand_urls: True # bool
db_option : 'RAGatouille' # str [FAISS, Chroma, RAGatouille, RAPTOR]
db_path : 'vectorstores' # str
model : 'sentence-transformers/all-MiniLM-L6-v2' # str [sentence-transformers/all-MiniLM-L6-v2, text-embedding-ada-002']
search_top_k : 3 # int
score_threshold : 0.2 # float
faiss_params: # Not used as of now
index_path: 'vectorstores/faiss.index' # str
index_type: 'Flat' # str [Flat, HNSW, IVF]
index_dimension: 384 # int
index_nlist: 100 # int
index_nprobe: 10 # int
colbert_params:
index_name: "new_idx" # str
llm_params:
llm_arch: 'langchain' # [langchain]
use_history: True # bool
generate_follow_up: False # bool
memory_window: 3 # int
llm_style: 'Normal' # str [Normal, ELI5]
llm_loader: 'gpt-4o-mini' # str [local_llm, gpt-3.5-turbo-1106, gpt-4, gpt-4o-mini]
openai_params:
temperature: 0.7 # float
local_llm_params:
temperature: 0.7 # float
repo_id: 'TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF' # HuggingFace repo id
filename: 'tinyllama-1.1b-chat-v1.0.Q5_0.gguf' # Specific name of gguf file in the repo
model_path: 'storage/models/tinyllama-1.1b-chat-v1.0.Q5_0.gguf' # Path to the model file
stream: False # bool
pdf_reader: 'gpt' # str [llama, pymupdf, gpt]
chat_logging:
log_chat: True # bool
platform: 'literalai'
callbacks: True # bool
splitter_options:
use_splitter: True # bool
split_by_token : True # bool
remove_leftover_delimiters: True # bool
remove_chunks: False # bool
chunking_mode: 'semantic' # str [fixed, semantic]
chunk_size : 300 # int
chunk_overlap : 30 # int
chunk_separators : ["\n\n", "\n", " ", ""] # list of strings
front_chunks_to_remove : null # int or None
last_chunks_to_remove : null # int or None
delimiters_to_remove : ['\t', '\n', ' ', ' '] # list of strings
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